Resumen:

Every year, thousands of accidents occur in the roads. Thanks to the effort and the investment of different institutions, this number has been reduced year after year, but it is not enough yet. To reduce the number of mortal victims, it is crucial to react as Every year, thousands of accidents occur in the roads. Thanks to the effort and the investment of different institutions, this number has been reduced year after year, but it is not enough yet. To reduce the number of mortal victims, it is crucial to react as quick as possible, so that wounded can receive the needed cares in the briefest period of time.
In this project, it is presented an automatic incident detection system that, installed on DGT (Dirección General de Tráfico), would allow to decrease the response time in case of accident. Moreover, this system informs about other anomalous situations like traffic jams or vehicles moving in forbidden directions that must also be taken into account in road surveillance. To achieve this functioning, the usual vehicle flow in the road is statistically modelled making use of video motion estimation. Then, if a group of motion vectors presents abnormal values and satisfies some spatial and temporal conditions, it can be considered that an anomaly is taking place on the scene.
The evaluation is performed over a database of videos provided by the DGT, containing three accidents and some slow traffic situations. The system is able to properly detect all of the accidents, but the performance decreases slightly when detecting traffic jams. Nevertheless, obtained results are more robust than the ones from the reference system based on vehicle tracking.[+][-]